Comparison of extreme learning machine and neural network method on hand typist robot for quadriplegic person

Kurniawan, Dimas; Alfani, M. Y.; Samudro, R. A.; Syai’in, Mat; Adhitya, Ryan Yudha; Khumaidi, Agus; Hasin, Muhammad Khoirul; Santoso, Mochamad Yusuf; Widiawan, Beni; Winarno, .; Soeprijanto, Adi; Soelistijono, Rachmad Tri

doi:10.1109/isesd.2017.8253313

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The goalkeeper robot is one of the robots in Indonesian Wheeled Robot Soccer Contest which has the task of keeping the goal area from the opponent's kick ball coming from all directions. The robot which is utilized autonomous robot which moves based on numerical analysis (Budianto, et al, 2017) (Kurniawan, et al, 2017). The movements are determined by the position of the ball in the field detected by the camera.…”

Section: Introductionmentioning

confidence: 99%

Ball Direction Prediction for Wheeled Soccer Robot Goalkeeper Using Trigonometry Technique

Setiawan

Khumaidi

Priyonggo

et al. 2019

ATCSJ

View full text Add to dashboard Cite

In this research Trigonometry Technique was implemented to predict the ball movement direction for Wheeled Soccer Robot Goalkeeper. The performance of goalkeeper robot in Wheeled Soccer Robot Contest is very important. The crucial problem with goalkeeper robot is the delay in ball detection by the camera because the results of the camera images captured are always slower than the pictures that have been captured. This causes the robot's response to blocking the opponent's kick ball being late. Trigonometry Technique is one technique that can be used to predict the direction of the ball movement based on trigonometry mathematical formulas. The input data used is the location of the last ball position (x–last ball and y-last ball) and the location of the current ball position (x-current ball and y-current ball). The outputs are the prediction of the next ball location (x-predict ball and y-predict ball) and the prediction of ball movement direction prediction. The results are the goalkeeper's robot successfully predicts the opponent's kick direction with 90% accuracy and can predict the location of the next ball very well. By implementing this method, it is expected to optimize the performance of the goalkeeper robot in saving the goal.

show abstract

Section: Introductionmentioning

confidence: 99%